Title
Wearables and Deep Learning Classify Fall Risk from Gait in Multiple Sclerosis.
Abstract
Falls are a significant problem for persons with multiple sclerosis (PwMS). Yet fall prevention interventions are not often prescribed until after a fall has been reported to a healthcare provider. While still nascent, objective fall risk assessments could help in prescribing preventative interventions. To this end, retrospective fall status classification commonly serves as an intermediate step i...
Year
DOI
Venue
2021
10.1109/JBHI.2020.3025049
IEEE Journal of Biomedical and Health Informatics
Keywords
DocType
Volume
Machine learning,Pulse width modulation,Feature extraction,Wearable sensors,Data models,Legged locomotion
Journal
25
Issue
ISSN
Citations 
5
2168-2194
2
PageRank 
References 
Authors
0.39
0
9